Conteúdo ministrado no MBA em Artificial Intelligence na FIAP. Os áudios utilizados estão marcados em cada caderno para donwload.
OBS: Este respositório está em construção. Todas as referências estão sendo atualizadas.
- [Steven W. Smith. 1997] The scientist and engineer's guide to digital signal processing. California Technical Publishing, USA.
- [Dey 2019] Dey, N. (2019).Intelligent speech signal processing. Academic Press.
- [Gold et al. 2011] Gold, B., Morgan, N., and Ellis, D. (2011).Speech and audio signalprocessing: processing and perception of speech and music. John Wiley & Sons.
- [Hoy 2018] Hoy, M. B. (2018). Alexa, siri, cortana, and more: an introduction to voiceassistants.Medical reference services quarterly, 37(1):81–88.
- [Kim et al. 2018] Kim, J. W., Salamon, J., Li, P., and Bello, J. P. (2018). Crepe: Aconvolutional representation for pitch estimation.
- [Modi 2019] Modi, R. (2019).Azure for Architects: Implementing cloud design, DevOps,containers, IoT, and serverless solutions on your public cloud. Packt Publishing Ltd.
- [Rabiner and Schafer 2010] Rabiner, L. and Schafer, R. (2010).Theory and applicationsof digital speech processing. Prentice Hall Press.
- [Ramachandran and Mammone 2012] Ramachandran, R. P. and Mammone, R. (2012).Modern methods of speech processing, volume 327. Springer Science & BusinessMedia.
- [Sarbazi-Azad 2016] Sarbazi-Azad, H. (2016).Advances in GPU research and practice.Morgan Kaufmann.
- [Sosnick and Hsu 2010] Sosnick, M. and Hsu, W. (2010). Efficient finite difference-based sound synthesis using gpus. InProceedings of the Sound and Music ComputingConference, pages 42–44.
- K.K. Paliwal "DECORRELATED AND LIFTERED FILTER-BANK ENERGIES FOR ROBUST SPEECH RECOGNITION"
- B.H. Juang, L.R. Rabiner and J.G. Wilpon, "On the use of bandpass liftering in speech recognition", IEEE Trans. Acoust., Speech and Signal Processing Vol. ASSP-35, No. 7, pp. 947-954, July 1987.